Everything you need to know about Sanjivani AI, disease detection, and crop protection
Sanjivani uses a custom-trained Convolutional Neural Network (CNN) with MobileNetV2 architecture, achieving over 95% accuracy on our validation dataset. However, environmental factors like lighting and image quality can affect results. We always recommend consulting a local expert for critical decisions.
Yes! Sanjivani includes 'PWA Offline Mode'. If you lose internet connection, you can still take photos. The app will queue them securely on your device and automatically process them once you're back online.
Absolutely. We process images securely via our encrypted API. We do not sell your farm data. Images are anonymously aggregated only to retrain and improve the AI model for the community.
Currently, Sanjivani supports Tomato, Potato, Corn (Maize), Cotton, and Wheat. We are actively collecting data to expand to Soybean and Sugarcane in the next update.
The AI is trained to recognize 'Healthy' states for all supported crops. If no disease is detected, it will confirm the plant is healthy and provide general care tips to maintain its vigor.
Still have questions?
Our team of agricultural experts and developers is here to help you get the most out of Sanjivani